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EnterpriseAI - Advanced Computing in the Age of AI
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Shaden Smith
Research scientist at Intel Parallel Computing Lab. I do research on high performance computing and focus on problems that arise in large scale machine learning.
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Advanced HPC provides high performance computing, storage systems and clusters to enable the latest in technology, from AI to machine learning.
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Computational agricultural applications based on high performance weather data simulation and hydrological modelling.
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GraphAnalysis.org: High Performance Computing for solving large-scale graph problems
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Ben Hachey
Ben Hachey - Home - Data science professional of 10+ years. Key expertise in computational linguistics, large-scale text analytics, machine learning, and information integration.
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Emils Matiss
Computational neuroscience graduate student at Queen’s University. Investigating liquid state machines for motor control in the ViKinG lab. Exploring the nexus of machine learning, neuroscience, and high-performance computing.
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PingThings PredictiveGrid™ - The platform for data science and AI on petabyte scale sensor data
PingThings' PredictiveGrid™ platform offers a time series database purpose built for industrial scale deployments of high rate sensors (1Khz+). It includes all the tools necessary to ingest, store, visualize, analyze, and perform machine learning or deep learning on your data.
Welcome to Polymatheia
I am a data scientist with a diverse background visual analytics, data mining, social media analytics, machine learning, high performance computing, and mathematical and computational dynamical modeling.
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Computing nowadays is inherently distributed. Be it a mainstream multi-core machine, a computing cluster, or a large-scale distributed service, a modern computing system involves multiple processes that concurrently perform independent computations and communicate to synchronize their activities. Understanding distributed computations is therefore essential to be competitive in practice or research in computer science.
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DataSpartan is a group of recognised global experts in the areas of Artificial Intelligence, Data Science, Big Data Flow, Quantitative Research, High Performance Computing, Machine Learning and Risk Modelling.
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Home Page - cHiPSet ICT COST Action IC1406
ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) The Big Data era poses a critically difficult challenge and striking development opportunities in High-Performance Computing (HPC): how to efficiently turn massively large data into valuable information and meaningful knowledge. Computationally effective HPC is required in a rapidly-increasing number of data-intensive domains, […]
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C-DAC: Centre for Development of Advanced Computing, India
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Leading Data Science Innovation at UHN The Data Aggregation, Translation and Architecture (DATA) team within the University Health Network, specializing in the use of machine learning and advanced software development approaches to help clinicians and scientists streamline clinical workflows and enable faster and better treatments through the use of computational and statistical methods. About Us … Home Read More »
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SLICES-RI | Scientific LargeScale Infrastructure for Computing/Communication Experimental Studies
what is Slices-RI? SLICES is a flexible platform designed to support large-scale, experimental research focused on networking protocols, radio technologies, services, data collection, parallel and distributed computing and in particular cloud and edge-based computing architectures and services.https://youtu.be/-zkOA9nviSo Learn about us who we are SLICES consortium gathers partners from 15 European countries, all of them having… Read More »SLICES-RI
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Computer science animates our world, driving knowledge creation and innovation that touches every aspect of our lives, from communications devices to the latest medical technology. With significant strengths in the three core areas of computer science—computer systems, theory and artificial intelligence—our department fosters highly productive collaborations that have led to breakthroughs in cyber-physical systems, cybersecurity, machine learning and high-performance computing among other areas.
Ram Dayal Goyal - Artificial Intelligence and Machine Learning Scientist
Ram Dayal Goyal, an IIT Bombay Alumni is a technology leader who possesses a practical and high ROI oriented approach towards solving industry computational problems using artificial intelligence, machine learning and its facets. In addition he provides a very handson deep training on these concepts which make anyone confident about using these techniques in problem solving
SLICES-DS | Scientific LargeScale Infrastructure for Computing/Communication Experimental Studies – Design Study
what is Slices-DS? The objective of the EU-funded SLICES-DS is to provide a complete design study for SLICES, a Europe-wide test-platform designed to support large-scale, experimental research on digital infrastructures. The SLICES design will account for advanced compute, storage and network components, interconnected by dedicated high-speed links. Pushing forward, the project’s main goal is to… Read More »SLICES-DS
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Common Workflow Language | Common Workflow Language (CWL)
The Common Workflow Language (CWL) is an open standard for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, High Energy Physics, and Machine Learning.
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Bigstream provides hyperacceleration technology for popular big data processing engines like Apache Spark using both hardware and software accelerators. Hyperacceleration of big data, machine learning and AI workloads is achieved using advanced compiler techniques and transparent support for FPGAs, many-core CPUs and GPUs. Unlike other hardware- or platform-specific approaches, Bigstream delivers orders of magnitude performance acceleration instantly and with no application code changes or special APIs.
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LightBridge is a one stop shop Photonics & Engineering solutions provider. Our deep expertise in Photonics technology is the result of many years of extensive experience gained from supporting our clients in all areas of Computational Optics and Photonics. LightBridge is a vertically integrated solution provider operating in all areas of Optical & Photonic Engineering services, including optical device design, performance modeling, algorithm and program development, signal analysis, machine learning for design optimization, reverse engineering, research & development services, as well as bespoke services tailored to help our clients specific needs.
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The A-eye Research Group aims at bringing artificial intellingence solutions to healthcare and, specifically, eye care. Our expertise lies in developing retinal image analysis methods based on deep learning technology for detection, diagnosis and quantification of retinal diseases. Application areas are automated screening of eye diseases, namely AMD, DR and glaucoma, for cost-effective triage of patient at risk; extraction of quantitative image biomarkers from multimodal data for accurate analysis of large population-based datasets; and the development of computer-aided solutions for personalized diagnosis and treatment of retinal diseases.
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Ανελκυστήρες – Αναβατόρια Σκάλας, Πλατφόρμες, Ηλεκτροκίνητες Καρέκλες, Αναβατόρια, Ανελκυστήρες Κάθετης Ανύψωσης για ΑΜΕΑ
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